Article Per Year (5 Year)
p-Index From 2020 - 2025
4.015
P-Index
This Author published in this journals
All Journal JOIN (Jurnal Online Informatika) Bulletin of Computer Science Research Journal of Informatics Management and Information Technology Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) Jurnal Informatika dan Rekayasa Komputer Jurnal Manajemen Teknologi dan Sistem Informasi Media Journal of General Computer Science (MJGCS) The Indonesian Journal of Computer Science Jurnal Pengabdian Masyarakat Unama
Jasmir
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering

Published : 30 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 30 Documents
Search

 1   2   3 
Penerapan Metode Clustering K-Means Untuk Menentukan Prioritas Penerima Bantuan Program Beras Untuk Rakyat Miskin (Raskin) Studi Kasus : Kecamatan Siulak Kinanti, Raudatul; Jasmir; Fachruddin
Jurnal Informatika Dan Rekayasa Komputer(JAKAKOM) Vol 4 No 2 (2024): JAKAKOM Vol 4 No 2 September 2024
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Poverty in Indonesia is a complex and ongoing issue. The government attempts to address this through social assistance programs such as Cash Social Assistance (BST), Direct Cash Assistance (BLT), RASKIN, and the Family Hope Program (PKH). Kerinci Regency in Jambi Province, with a population of 255,736 people, still has many communities in need of assistance, especially in Siulak Subdistrict. According to a 2021 BPS report, the distribution of RASKIN assistance often does not meet needs due to uneven distribution and lack of data validation. This study uses the K-Means CLUSTERING method to determine RASKIN recipients more accurately. The research data consists of 349 residents of Siulak Panjang Village after cleaning data from the original 355 records. The criteria for receiving assistance include household size, floor area of less than 10 square meters, low education levels, unstable economic conditions, and poor health. Eight attributes were used in this analysis. Results show differences in the number of aid recipients in each Cluster between manual calculations and SPSS, due to SPSS data standardization. Manual calculations indicate Cluster 1 with 74 data (third priority), Cluster 2 with 37 data (first priority), Cluster 3 with 73 data (second priority), Cluster 4 with 42 data (fifth priority), and Cluster 5 with 123 data (fourth priority). In contrast, SPSS results show Cluster 1 with 32 data (first priority), Cluster 2 with 68 data (fifth priority), Cluster 3 with 124 data (second priority), Cluster 4 with 73 data (fourth priority), and Cluster 5 with 52 data (third priority). Based on this comparison, SPSS is more recommended as it provides more accurate and consistent results through data standardization, is efficient in data processing, and produces Cluster s that better match the actual conditions.
Penerapan Data Mining Untuk Rekomendasi Bidang Studi Menggunakan Algoritma K-Medoids Pada SMA N 9 Kota Jambi Gustirani, Amalinda; Jasmir; Fachruddin
Jurnal Informatika Dan Rekayasa Komputer(JAKAKOM) Vol 4 No 2 (2024): JAKAKOM Vol 4 No 2 September 2024
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Education is a process that develops a person in terms of mindset, attitude, character, language, and role in society. This study aims to apply data mining in recommending fields of study in universities using the K-Medoids algorithm. From the research conducted, researchers recommend 8 clusters, which is calculated manually and using RapidMiner. The results obtained manually in cluster 1 showed that there were 11 students who entered the Agriculture and Animal Husbandry Sector, cluster 2 had 65 students entering the Sports Sector, cluster 3 had 29 students entering the Health Sector, cluster 4 has 7 students entering the Science and Technology field, cluster 5 has 30 students entering the Education Sector, cluster 6 has 39 students entering the Economics field, cluster 7 there are 17 students entering the Religion Field, cluster 8 there are 27 students entering the Arts Field. Meanwhile using RapidMiner in cluster 1 there were 32 students, cluster 2 has 36 students, cluster 3 has 26 students, cluster 4 has 17 students, cluster 5 has 30 students, cluster 6 has 31 students, cluster 7 has 39 students, cluster 8 has 14 students. Hoped the results of applying the K-Medoidsss algorithm can help students determine their field of study in college.
Comparison Airport Traffic Prediction Performance Using BiGRU and CNN-BiGRU Models Riyadi, Willy; Jasmir; Sika, Xaverius
JOIN (Jurnal Online Informatika) Vol 10 No 1 (2025)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v10i1.1362

Abstract

COVID-19 pandemic has significantly disrupted the aviation industry, highlighting the critical need for accurate airport traffic predictions. This study compares the performance of BiGRU and CNN-BiGRU models to enhance airport traffic forecasting accuracy models from March to December 2020. Data preprocessing was performed using Python's Pandas library. This involved filtering, scaling using min-max normalization, and splitting the data into 80:20 training-testing split using Python's Pandas library. Various optimization techniques—RMSProp, Adam, Nadam, Adamax, AdamW, and Lion—were applied, along with ReduceLROnPlateau, to optimize model performance. The models were evaluated using Mean Absolute Percentage Error (MAPE), Mean Absolute Error (MAE), and Mean Squared Error (MSE). The best predictive performance was observed in the United States using the CNN-BiGRU model with the Adam optimizer, achieving the lowest MAE of 0.0580, MSE of 0.0097, and MAPE of 0.0979. The use of a balanced dataset, representing each airport's traffic as a percentage of a baseline period, significantly improved prediction accuracy. This research provides valuable insights for stakeholders seeking effective airport traffic prediction methods during unprecedented times.
Peningkatan Performa Naive Bayes dengan Fitur Chi-Square pada Analisis Sentimen Komentar Pengguna Aplikasi Netflix Jusia, Pareza Alam; Pahlevi, Riza; Pardamean Simanjuntak, Daniel Sintong; Jasmir
Bulletin of Computer Science Research Vol. 5 No. 4 (2025): June 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v5i4.532

Abstract

This study discusses sentiment analysis using the Naïve Bayes algorithm with Chi-Square. The purpose of this study is to determine the effect of Chi-Square feature selection on the performance of the Naïve Bayes algorithm in analyzing document sentiment. The research data was taken from Netflix Application user comments. Testing was carried out by analyzing document sentiment with and without Chi-Square feature selection. Furthermore, it was evaluated using the accuracy, precision, and recall methods. The results of this study are that the addition of CS features to NB significantly improves all evaluation metrics, especially recall and F1-score, indicating that additional features help improve the model's ability to understand data. The combination of NB + CS with a 70:30 split gives the best results, making it the optimal choice.
Penerapan Metode Metode Weighted Aggregated Sum Product Assesment (WASPAS) dalam Pemilihan Supplier Faisal Amir; Pressa Persana Surya Saputra; Jasmir; Samsul Lutfi; Ni Luh Wiwik Sri Rahayu Ginantra; Ilham Tri Maulana
Journal of Informatics Management and Information Technology Vol. 3 No. 1 (2023): January 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jimat.v3i1.241

Abstract

The most important activity carried out by companies is to make a profit. Very subjective decision making can lead to errors in supplier selection. In supplier selection, the purchasing department often experiences difficulties in determining the selection of suppliers to be given orders because of the large number of suppliers and the criteria used in the assessment. Therefore, a supplier selection decision support system is needed so that the purchasing department can determine the best supplier. This decision support system uses the Weighted Aggregated Sum Product Assessment (WASPAS) method where this method can be used to overcome existing problems, because there are many alternatives and criteria that must be considered in selecting suppliers such as: price, quality, availability of goods and others. This research will raise a case that is looking for the best alternative based on predetermined criteria. In order to find the weight of each attribute, then a ranking process is carried out which will determine the optimal alternative, namely the best supplier.
Penerapan Metode MOOSRA dan ROC dalam Penentuan Guru Terbaik Nazrul Azizi; Bella Putri Cahyani; Hetty Rohayani; Jasmir; Yuwan Jumaryadi; Jeperson Hutahaean
Journal of Informatics Management and Information Technology Vol. 3 No. 2 (2023): April 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jimat.v3i2.255

Abstract

The best teacher is a teacher who is given appreciation because he has a high achievement value. There are several specific criteria in selecting the best teacher, namely in terms of achievement, skills possessed, morals/manners, and discipline. To improve quality in the world of education, of course, a teacher is needed who will interact directly with students in the learning process which can indirectly improve the quality of education. With the interaction in the learning process, it is hoped that it will become a resource in improving the quality of education. There is also something the government is doing that is in a way to advance education, namely by empowering teachers and giving an award, especially for those who are entitled to get the title of the best teacher with achievements. Based on the results of interviews and research related to SMK Negeri 2 Medan, in determining the best teacher the assessment is still in a subjective way. This is based only on the opinion of each teacher and does not start with certain criteria, this will affect social events because the method used is not in an objective way and ends in an unfair feeling caused by subjective methods among fellow teachers who teach at the school. Therefore, it is recommended that schools must determine and agree on certain criteria in determining outstanding teachers, even though the assessment in the final process is still carried out by voting from those who have voting rights in determining the outstanding/best teachers, which of course is also carried out by teachers. The system for determining the best teacher is always a problem every year because it can create injustice among fellow teachers. Therefore, to facilitate and eliminate this unfair attitude, a decision support system (SPK) is needed which can facilitate the determination of the best teacher at SMK Negeri 2 Medan. A decision support system is an interactive computer system that can assist decision making by utilizing existing data to solve unstructured and semi-structured problems. In this SPK there are several methods, one of which is the Moosra Method (Multiobjective Optimization on the Basis of Simple Ratio Analysis) and the ROC (Rank Order Centroid) Method. The result of ROC and MOOSRA method calculation showed that Halimah (A10) obtained the highest final preference value of 14.599, making her selected as the best teacher.
Analisis SPK Penerima Bantuan Rumah Tidak Layak Huni Menggunakan Metode MABAC di Kota Jambi: Analysis of Decision Support System Design for Uninhabitable House Assistance Recipients Using the MABAC Method in Jambi City Noviana, Risma Dwi; Jasmir; Joni Devitra
Jurnal Informatika Dan Rekayasa Komputer(JAKAKOM) Vol 5 No 1 (2025): JAKAKOM Vol 5 No 1 APRIL 2025
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/jakakom.2025.5.1.1963

Abstract

The Jambi City Housing and Settlement Areas Office in processing data for receiving uninhabitable housing assistance is still using Microsoft Excel. So that there is a problem, namely there are many houses that are classified as Uninhabitable Houses (RTLH) in Jambi City, and determining which ones are eligible for assistance and which ones are not is a time-consuming task and requires proper assessment and errors in assessment can have a bad impact on the efficiency of budget use and inequality in the distribution of aid. Therefore, this study aims to provide a solution to the problems that occur by offering a system to support the decision to receive uninhabitable housing assistance using the MABAC method where the author develops a system with a prototype method and uses a unified model language system model approach using usecase diagrams, activity diagrams, class diagrams and flowcharts. So that the results of the application can be used by can provide the convenience of choosing a decent assistance receipt quickly and precisely.
Perancangan Sistem Presensi Face Recognition Dengan Menggunakan Metode Haar Cascade Object Detection Evan Alber; Jasmir; arvita, Yulia
Jurnal Informatika Dan Rekayasa Komputer(JAKAKOM) Vol 5 No 1 (2025): JAKAKOM Vol 5 No 1 APRIL 2025
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/jakakom.2025.5.1.2205

Abstract

Presensi yang dilakukan dengan manual dirasa kurang efektif penerapannya dalam masa pandemi covid-19. Ini dirasa dapat mengurangi perlindungan kesehatan terhadap pekerja hingga ruang lingkup sekitarnya dikarenakan dilakukan secara langsung dengan menyentuh alat presensi. Sebagai tanggapan dari permasalahan yang dibahas, salah satu caranya adalah dengan merancang sistem presensi face recognition ini. Dengan presensi face recognition ini para orang yang ingin melakukan presensi tidak lagi melakukannya secara manual. Sistem dapat merekam data apabila wajah orang yang melakukan presensi dihadapkan ke kamera. Tak hanya itu, perancangan sistem ini juga bertujuan sebagai landasan dalam mewujudkan perkembangan teknologi pada lingkungan sekitar. Hasil pengujian pada sistem didapatkan bahwa sistem dapat mengenali wajah yang melakukan presensi adalah dengan waktu rata – rata sebesar 1.693 detik dari nilai akurasi yang telah ditentukan.
Implementasi Sistem Informasi Pendaftaran Online Berbasis Web Pada SMP S Sinar Bijaksana Guang Ming Putri, Della Utami; Fachruddin; Jasmir
Jurnal Informatika Dan Rekayasa Komputer(JAKAKOM) Vol 5 No 1 (2025): JAKAKOM Vol 5 No 1 APRIL 2025
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/jakakom.2025.5.1.2226

Abstract

SMP S Sinar Bijaksana Guang Ming is a private school that prioritizes character education while also emphasizing knowledge and soft skills development. Currently, SMP S Sinar Bijaksana Guang Ming has not yet implemented an effective information system, as the registration process requires parents of prospective students to register directly at the school and return for interviews and entrance exams. Registration data is still stored using Microsoft Excel. This traditional method presents challenges such as delays in data entry, file corruption, and difficulties in generating reports. Therefore, the author feels the need for computerization in the student registration information system to simplify the registration process for prospective students without having to visit the school, and to make the admin's tasks more efficient and effective. To address this issue, the author proposes the design and implementation of a Web-Based Online Registration Information System at SMP S Sinar Bijaksana Guang Ming. The system development method used is the waterfall model. This research produces a web-based online registration information system where administrators can manage and print data related to the gallery, teachers, student registrations, interview results, and written exam results. Parents of prospective students can view information about teaching staffs, school activities, and available facilities, as well as completing the registration process and checking the results of interviews and written exams. Meanwhile, the principal can search for and print reports on student registrations, interview results, and written exam results. Furthermore, this system is expected to provide convenience for all parties, from admins to parents of prospective students, in the registration process and data management.
Implementasi Metode Analytical Hierarchy Process (AHP) Dalam Sistem Pendukung Keputusan Untuk Rekomendasi Biro Perjalanan Umrah Di Kota Jambi Meisarah, Neisya; Fachruddin; Jasmir
Jurnal Informatika Dan Rekayasa Komputer(JAKAKOM) Vol 5 No 1 (2025): JAKAKOM Vol 5 No 1 APRIL 2025
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/jakakom.2025.5.1.2274

Abstract

The development of information technology has had a significant impact in various sectors, including the Umrah travel sector. The number of Umrah travel agencies in Jambi City makes it difficult for prospective pilgrims to make choices that suit their needs. Therefore, a Decision Support System (SPK) is needed that can assist in the process of selecting an Umrah travel agency objectively and systematically. This study aims to develop and implement a Decision Support System (DSS) in the selection of Umrah travel agencies in Jambi City using the Analytical Hierarchy Process (AHP) method. This system is designed to assist prospective pilgrims in choosing the appropriate Umrah travel agency based on the criteria of legality, facilities, trip duration, reputation, and additional services. The system was developed using the PHP programming language and MySQL database, with a system model designed using the Unified Modeling Language (UML) and the waterfall development method. The results showed that PT Al Mabrur Nadia Insani is the best Umrah travel agency based on Analytical Hierarchy Process (AHP) calculations, with the highest score of 0.412, so that the system developed is able to provide objective and systematic recommendations, assist prospective pilgrims in choosing the optimal Umrah travel agency, and provide insight for Umrah travel agencies to improve their services.
Co-Authors Abdul Haris Abdul Haris Afrizal Nehemia Toscany agus Nugroho Agus Nugroho, Agus Amroni Arvita, Yulia Aryani, Lies Bella Putri Cahyani Chindra Saputra Despita Meisak Devi Dodi Sandra Etriyanti, Siska Evan Alber Fachruddin Faisal Amir Fitriani Gunardi Gustirani, Amalinda Hetty Rohayani Husaein, Ahmad Ibnu Sani Wijaya Ibnu Sani Wijaya ISW Ilham Tri Maulana Jeperson Hutahaean Joni Devitra Jumaryadi, Yuwan Junaidi, Feri Khairuldi Khatina Sari Kinanti, Raudatul Kurniabudi M. Riza Pahlevi. B, S Maichel Hardi Meisarah, Neisya Muhammad Athorik Alfayyed Mutawadiah Nada Aprillia Nazrul Azizi Ni Luh Wiwik Sri Rahayu Ginantra Nopi Desmulyani Noviana, Risma Dwi NOVIANTO, YUDI Nurhayati Nurhayati Pardamean Simanjuntak, Daniel Sintong Pareza Alam Jusia Pareza Alam Jusia, Pareza Alam Pressa Persana Surya Saputra Purnama, Benni Putri, Della Utami Ramdani Saputra Rianti Agustini, Silvia Riza Pahlevi, Riza ROBY SETIAWAN Rohaini, Eni Samsul Lutfi Sani Wijaya, Ibnu saputra, sahril Sharipuddin SIKA, XAVERIUS takhir, Said WILLY RIYADI Wiratami, Latifa Yudi Novianto Yulia Arvita